Just had a thought here, have not tried it yet.  I have a database that I am
working with that is generating 28 GB of redo each day.  I would really like
to know what objects are generating all this redo without going through the
hassle of mining a bunch of log files.  It occurred to me that if table
monitoring is active and my stats are up to date I should be able to
multiply the total number of updates, inserts and commits by the average row
size and get a rough % of what objects are generating the most redo.  

I am sure there are a number of other factors I need to consider, any ideas
what they are?

* Should I weight inserts, updates and deletes?
* ??

The goal is to identify the objects, then identify the jobs that work on
those objects and see if I can reduce redo.  I suspect a lot of this redo is
being generated because of some poor design issues.

Thanks!

- Ethan
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